A New Hybrid Optimization Method Using Design Of Experiment Together With Artificial Neural Genetic Algorithm

In the engineering design process, it is a necessity to reduce the engineering design cycle time to meet the global market demand and also the customers need. Among the steps in the engineering design process, optimization process always consumed a lot of time and resources. This is because the opt...

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Main Author:	Yahaya, Nor Zaiazmin
Format:	Thesis
Language:	English
Published:	2011
Subjects:	TJ1-1570 Mechanical engineering and machinery
Online Access:	http://eprints.usm.my/43436/1/NOR%20ZAIAZMIN%20BIN%20YAHAYA.pdf
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id	my-usm-ep.43436
record_format	uketd_dc
spelling	my-usm-ep.434362019-04-12T05:26:30Z A New Hybrid Optimization Method Using Design Of Experiment Together With Artificial Neural Genetic Algorithm 2011-10 Yahaya, Nor Zaiazmin TJ1-1570 Mechanical engineering and machinery In the engineering design process, it is a necessity to reduce the engineering design cycle time to meet the global market demand and also the customers need. Among the steps in the engineering design process, optimization process always consumed a lot of time and resources. This is because the optimization process involved a lot of parameters and infinite solutions that required a lot of experimental runs. A new a new hybrid optimization has been developed in this research that should be able to yield higher prediction accuracy for the optimal solution and at the same time requires only a minimum number of experimental runs without compromising the prediction accuracy. 2011-10 Thesis http://eprints.usm.my/43436/ http://eprints.usm.my/43436/1/NOR%20ZAIAZMIN%20BIN%20YAHAYA.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Kejuteraan Makanikal
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	TJ1-1570 Mechanical engineering and machinery
spellingShingle	TJ1-1570 Mechanical engineering and machinery Yahaya, Nor Zaiazmin A New Hybrid Optimization Method Using Design Of Experiment Together With Artificial Neural Genetic Algorithm
description	In the engineering design process, it is a necessity to reduce the engineering design cycle time to meet the global market demand and also the customers need. Among the steps in the engineering design process, optimization process always consumed a lot of time and resources. This is because the optimization process involved a lot of parameters and infinite solutions that required a lot of experimental runs. A new a new hybrid optimization has been developed in this research that should be able to yield higher prediction accuracy for the optimal solution and at the same time requires only a minimum number of experimental runs without compromising the prediction accuracy.
format	Thesis
qualification_level	Master's degree
author	Yahaya, Nor Zaiazmin
author_facet	Yahaya, Nor Zaiazmin
author_sort	Yahaya, Nor Zaiazmin
title	A New Hybrid Optimization Method Using Design Of Experiment Together With Artificial Neural Genetic Algorithm
title_short	A New Hybrid Optimization Method Using Design Of Experiment Together With Artificial Neural Genetic Algorithm
title_full	A New Hybrid Optimization Method Using Design Of Experiment Together With Artificial Neural Genetic Algorithm
title_fullStr	A New Hybrid Optimization Method Using Design Of Experiment Together With Artificial Neural Genetic Algorithm
title_full_unstemmed	A New Hybrid Optimization Method Using Design Of Experiment Together With Artificial Neural Genetic Algorithm
title_sort	new hybrid optimization method using design of experiment together with artificial neural genetic algorithm
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuteraan Makanikal
publishDate	2011
url	http://eprints.usm.my/43436/1/NOR%20ZAIAZMIN%20BIN%20YAHAYA.pdf
_version_	1747821213939400704

A New Hybrid Optimization Method Using Design Of Experiment Together With Artificial Neural Genetic Algorithm

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